Senior Machine Learning Engineer | Singapore, SG | Hybrid

Tangspac; Singapore; Hybrid; SGD 80,000 - 100,000; Full time

Job summary

Ein führendes Unternehmen im Bankwesen sucht einen Senior Machine Learning Engineer, der Innovationen innerhalb ihres wachsenden KI-Teams vorantreibt. In dieser spannenden Rolle werden Sie KI-Modelle entwerfen, entwickeln und evaluieren sowie fortschrittliche Algorithmen implementieren. Sie haben die Möglichkeit, mit großen Datensätzen zu arbeiten und die Effizienz des maschinellen Lernzyklus zu automatisieren. Wenn Sie über umfangreiche Erfahrung in der Branche und Kenntnisse in modernen ML-Tools verfügen, ist dies Ihre Chance, einen bedeutenden Beitrag zu leisten und Ihre Karriere voranzutreiben.

Qualifications

• 5+ Jahre Erfahrung in maschinellem Lernen mit Schwerpunkt auf Deep Learning.
• Erfahrung mit großen Datensätzen und Big Data-Technologien.

Responsibilities

• Entwicklung und Evaluierung von KI-Modellen und Optimierung der Modellleistung.
• Automatisierung des maschinellen Lernzyklus zur Effizienzsteigerung.

Skills

PyTorch

Keras

TensorFlow

Python

Machine Learning

Data Preprocessing

ML Operations Tools

Big Data Technologies

Tools

Prometheus

Grafana

Job description

Senior Machine Learning Engineer

Tangspac Singapore Apply now Posted 1 day ago | Hybrid Job | Permanent | S$12k - S$16k

Senior Machine Learning Engineer

Tangspac Singapore Apply now

Join a leading banking institution as a Senior Machine Learning Engineer and drive innovation within their expanding AI team.

Responsibilities:

1. Design, develop, and evaluate AI models; assist MLE with training models.
2. Research and implement cutting-edge algorithms and techniques.
3. Optimize model performance for deployment and ensure accuracy through testing and validation.
4. Implement and maintain pipelines for model training, evaluation, and monitoring.
5. Work with large datasets and apply best practices for data preprocessing.
6. Automate the machine learning lifecycle to enhance efficiency.

About You:

1. 5+ years of industry experience in machine learning, with proficiency in PyTorch, Keras, TensorFlow, and Python.
2. Experience working with large datasets and big data technologies.
3. Hands-on experience with ML operations tools such as Prometheus, Grafana, etc.
4. Experience in the banking industry is a plus.
5. Experience in deployment and maintenance of deep learning models.

Interested candidates are encouraged to email their latest resume to [e-mail].

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Tangspac Consulting provides resourcing solutions to startups, fintechs, enterprise tech companies, financial institutions, and government agencies.

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